Token API Guide

1. Discuss the service arrangement

Tell TATC which model capabilities and workloads you need, the expected usage pattern, and any data-location or handling requirements. The selected service arrangement defines the available models, access scope and commercial terms.

2. Receive the connection details

When access is prepared for your arrangement, TATC will provide the confirmed endpoint, permitted model IDs, an access credential, applicable limits, processing information and a support contact through the agreed channel. Access is enabled through the confirmed customer arrangement.

3. Protect the API key

The issuance channel, scope, expiry and rotation procedure for a key, together with any account interface, will be documented with the selected service.

• Store the issued key in a server-side environment variable or secret manager.
• Keep the key out of browser code, mobile apps, public repositories and support screenshots.
• Limit access to people and systems that need it. If the key is exposed, contact TATC through the agreed support channel so access can be reviewed and rotated.

4. Before your first request

• Confirm the endpoint and exact model ID supplied for your arrangement.
• Confirm the supported request format, usage limits and processing location.
• Keep the key available only to the server-side application that will make requests.

1. Prepare your connection values

Use the endpoint, API key and model ID supplied by TATC. Set them as server-side environment variables; the example names below are illustrative. The API key is sent as a bearer credential only if this authentication pattern is confirmed for your service.

• TATC_BASE_URL: confirmed API base URL
• TATC_API_KEY: issued access credential
• TATC_MODEL_ID: model identifier enabled for your arrangement

2. Send a small test request

The cURL example shows the intended order of operations. Replace every placeholder with confirmed values. The request path and JSON fields illustrate a planned pattern to be confirmed in the final interface documentation.

# Planned integration pattern. Use the details supplied by TATC.
export TATC_API_KEY="<issued-key>"
export TATC_BASE_URL="https://<confirmed-host>/v1"
export TATC_MODEL_ID="<confirmed-model-id>"

curl "$TATC_BASE_URL/chat/completions" \
  -H "Authorization: Bearer $TATC_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$(printf '{"model":"%s","messages":[{"role":"user","content":"Hello"}]}' "$TATC_MODEL_ID")"

3. Use a server-side client

If OpenAI-compatible access is confirmed for your service, a compatible Python client may be configured with the agreed base URL and key. Install and configure the client according to the version used by your application.

# Planned OpenAI-compatible pattern, subject to interface confirmation.
import os
from openai import OpenAI

client = OpenAI(
    base_url=os.environ["TATC_BASE_URL"],
    api_key=os.environ["TATC_API_KEY"],
)
response = client.chat.completions.create(
    model=os.environ["TATC_MODEL_ID"],
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

4. Check the response

Streaming, tool calls, image inputs and other advanced formats depend on the selected model and confirmed interface. Add them only after the basic request works.

• Confirm the HTTP result and returned content against the final interface documentation.
• Record any request identifier supplied by the service for troubleshooting.
• Verify usage records and billing units against the agreed service terms.

Authentication and key changes

Use the credential only from trusted server-side systems. Document which application uses each issued key. When access changes or a key may have leaked, contact TATC through the agreed channel for replacement and retire the previous key according to the supplied procedure.

Handling request failures

These are common integration patterns. The service-specific status codes, error body and retry timing will be defined in the final technical documentation.

• An authentication or permission response calls for checking the key, endpoint and model access before retrying.
• If a limit response is returned, follow the agreed retry guidance and avoid rapid repeated requests.
• For a transient service error, retain the time, request identifier if present and a redacted request summary for support.

Usage and data handling

Agree on how request usage is measured and reported before production use. Processing location, retention and any official upstream model-provider involvement depend on the selected model and agreement. Avoid sending data that the selected arrangement has not been approved to process.

When contacting support

• Include the affected service and model ID, approximate time and a request identifier if one was returned.
• Describe the observed status and whether the issue is repeatable.
• Remove API keys, personal data and confidential prompts from screenshots and logs before sharing them.